From Monitoring towards Understanding, Predicting and Managing Plankton in Changing Aquatic Ecosystems
We are developing innovative approaches to phytoplankton
and lake-ecosystem monitoring and integrating data with community and ecosystem
|The long-term goal is a correct understanding and management of water resources, the biodiversity that they harbour and the services that lake ecosystems deliver. The first step towards understanding lake biodiversity and its drivers relies on the detection of detailed patterns in plankton community dynamics, which can be the outcome of four processes: selection, drift, evolution and dispersal.||
This implies that plankton dynamics may not always be explained by deterministic processes such as species-sorting or competition, but in many instances phytoplankton communities may just be the outcome of stochastic processes. In any case, modelling and prediction strictly depend upon our ability to discern deterministic from purely stochastic processes in the assembly of phytoplankton communities over short to long periods of time and over spatial landscapes such as the vertical profile of the water column or a lake transect.
In collaboration with Bas Ibelings, Jukka Jokela,
Blake Matthews, Carlos Melian, and Johny Wüest under SNF and EAWAG funding, we developed an innovative tool for high frequency
monitoring of lake phytoplankton (Aquaprobe), currently deployed in Lake Greifensee. With the aim
of detecting and understanding patterns in phytoplankton community dynamics, we
have designed a lake monitoring platform for the characterisation and counting
of algal cells (scanning flow-cytometry), coupled with measurement of the
physical water environment (multiparameter probe) and contingent meteorological
The aim is to automatically and with high frequency acquire
information on meteorological conditions, phytoplankton composition, diversity,
abundance, phytoplankton functional traits, water physico-chemical parameters, and
to monitor these parameters over the vertical profile of the water column, i.e.
taking the large depth of alpine lakes into account. Aided with dedicated
statistical tests and computer simulations of community assembly, we aim at describing
the relationship between phytoplankton diversity, community dynamics and environmental
Development of individual trait-based approaches to phytoplankton biodiversity
Which individual, community and ecosystem traits
foster ecosystem resistance and resilience and which traits make ecosystems
more vulnerable to external forcing and disturbance? What is the relationship
between changes at the level of individuals and community dynamics (including
To address this questions we focus on the development and
application of trait-based approaches to understand how individual responses scale
to higher-level effects.
We aim at describing single organisms based on
expressed phenotypic traits that directly respond (response-traits) to
environmental changes, disturbance, pollution as well as eco-evolutionary
processes like selection, competition or predation.
We want to derive indices of trait-diversity based on individually acquired data and determine trait-environment, trait-biodiversity and trait-productivity relationships. We approach this challenge using scanning flow-cytometry and we have identified a set of focal phytoplankton traits that respond quickly and significantly to species interactions or environmental filters. Our results suggest that the description of functional diversity afforded by measured individual traits is extremely sensitive with regards to environmental change and tightly bound to productivity dynamics. Measures of functional diversity based on individual traits are important to understand the eco-evolutionary mechanisms that control diversity and functioning of natural communities, and may have a significant applied impact in the fields of biodiversity ecosystem-functioning and environmental risk assessment. We are also developing new clustering approaches for flow-cytometry data. This research is carried out in collaboration with Carlos Melian, Nathan Kraft, Robert Ptacnik and Thomas Ott.
Assessing impacts of cyanobacterial blooms on aquatic environments in the context of climate change and nutrient pollution
The goal of this research project, recently funded in collaboration with Piet Spaak and Cristina Sandu (Romanian Academy of Science), is to reconstruct the history of cyanobacterial blooms and the occurrence of toxic genes from lake sediments. We also aim at assessing the effects of cyanobacteria on locally adapted zooplankton.
|Knowledge about this history is crucial to understand cyanobacterial bloom drivers, predict the risk for harmful cyanobacterial blooms in the context of environmental change and their consequences for lake food webs. The formerly hyper-eutrophied lake Greifensee, Switzerland, is an ideal study site to develop the method to reconstruct cyanobacterial blooms from sediment cores. Eventually, we want to apply the method to lakes of the Danube Delta.|
Microscale gradients are important features of aquatic environments, but they are the hardest to measure drivers of biodiversity changes and plankton productivity. In close collaboration with Eric Bakker and Bernhard Wehrli, we aim at developing new sensing tools to detect chemical gradients at high spatial and temporal resolution in the field in order to understand planktonic biodiversity and productivity dynamics and their impacts on the local carbon cycle. This project will provide new tools to interrogate plankton microenvironments in situ and evaluate the ecosystem implications of microscale gradients and rapid biodiversity dynamics. A suit of novel sensors for macronutrients, micronutrients, and physicochemical parameters will be tested in the lab, validated, then deployed in the field and used in tandem with scanning flow-cytometry in the automated monitoring platform Aquaprobe. This new set-up will feature on-line analysis of nutrients, micronutrients, and other chemical parameters relevant to the carbon cycle. Development of new chemical sensor technology will allow to directly target key ecological questions: 1) Which variables influence short-term fluctuations in phytoplankton dynamics triggering cyanobacterial blooms? 2) How do such occurrences affect the local carbon cycle?
Interaction between Micropollutants and Plankton Biodiversity
Natural populations and communities in aquatic
environments are continuously exposed to unnatural chemicals, discharged in
waterways by human activities. Our goal is to understand how the effects of
these chemicals interfere with the processes that maintain biodiversity and
functioning of natural systems.
|Key innovative aspects of our approach include the use of environmentally relevant scenarios and exposure levels, the targeting of multiple endpoints at increasing levels of biological complexity (physiological, evolutionary and ecological responses), and the use of data acquired at the individual level.||
Interactions between Biodiversity, Environmental Gradients and Emerging Pollutants in Natural Phytoplankton Communities
Lakes globally contribute to the cycle of nutrients, carbon and green-house gases and are generally among the first ecosystems to encounter novel pollutants of human origin as a consequence of discharge form industrial, urban and agricultural settlements. The final impact of these toxic mixtures on lake ecosystems is not well understood. Traditional risk assessment approaches fail in describing the complexity of the growth environment, biodiversity and stressor mixtures.
The analysis of risk and effect require new approaches
which must consider realistic environmental scenarios, which can potentially
help disentangling the effects of a fluctuating environment from the effects of
pollutants (multiple stressors). Emerging contaminants such as pharmaceuticals
and personal care products pose new concerns for the protection of water, and
the assessment of risks associated with water-born drugs requires realistic
exposure levels and a mixture toxicology approach. We want to understand the
two-way interaction between natural changes in the phytoplankton environment
and emerging micropollutants on biodiversity and productivity.
We assess the effects of diversity levels on community resilience to stress and the effects of pollutants and changes in the growth environment on community structural and functional properties.In collaboration with Luca Nizzetto, we aim at exposing phytoplankton in their natural environment to emerging chemical stressors using novel field methods, for an assessment of the community adaptive capacity and resilience.
Pollution induced evolutionary responses in phytoplankton populations
Natural populations may evolve resistance to
pollutants or their mixtures but how these toxic mixtures relate to the
evolution of resistance traits and associated fitness costs is not well
understood. Here we want to study how phytoplankton populations adapt to the
“chemical world”. We interested in the number of generations and the levels of
exposure that determine evolutionary adaptation to pollutants, how organisms
genetically adapt, and what are the implications of evolved resistance for
ecosystem functioning (for example primary production). Questions include: do
realistic environmental levels of exposure to micropollutants induce individual
responses as phenotypic plasticity?
How long phenotypic plasticity is maintained across generations? How long before phenotypic changes are fixed within populations under chemicals' selective pressure? In this project we attempt to experimentally evolve resistant phytoplankton strains (particularly cyanobacteria) by exposing them to water borne micropollutants in the laboratory. We focus several aspects that are of key importance to understand the evolutionary ecology of micropollutants exposure.
Metabolism of polar organic xenobiotics in phytoplankton
The fate, cycle and dynamics of micropollutants can be affected by phytoplankton diversity and growth dynamics. Knowledge on the importance of biotransformation of polar organic compounds in organisms of the aquatic food web is essential to mechanistically link environmental exposure with toxic effects but currently rather limited. The metabolic profiles, the enzymatic activities involved and the identity of transformation products are not known in most cases although this is necessary to determine whether the metabolism results in bioactivation or detoxification of xenobiotics. This is important for scientific derivation of environmental quality standards in the context of the water framework directive as well as the evaluation of the bioaccumulation potential for registration of new chemicals within REACH.
|This project was funded in collaboration with Juliane Hollender and aims at characterising the biotransformation of polar compounds in aquatic invertebrates and determining the importance for bioaccumulation as well as the contribution to fate in the aquatic environment. Specifically, here we are interested in to what extent the bioaccumulation and biotransformation in algal communities contributes to the fate in the aquatic environment, and how important is the role of biodiversity in the compounds’ environmental persistence.|
The Laboratory website is always under construction, for more information please contact Francesco Pomati.